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Pedestrian navigation system and method based on inertial and myoelectricity information and combined with machine learning

An inertial navigation system and machine learning technology, which is used in navigation, navigation, mapping and navigation through speed/acceleration measurement. It can solve the problem that motion signals cannot meet the needs of human navigation in different modes, and improve reliability and stability. sexual effect

Active Publication Date: 2018-12-21
NANJING NORMAL UNIVERSITY
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Problems solved by technology

[0004] Studies in recent years have shown that a single motion signal may not be able to meet the navigation needs of people in different modes, so it is necessary to introduce multiple input signals to reflect the differences between different motion modes

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  • Pedestrian navigation system and method based on inertial and myoelectricity information and combined with machine learning
  • Pedestrian navigation system and method based on inertial and myoelectricity information and combined with machine learning
  • Pedestrian navigation system and method based on inertial and myoelectricity information and combined with machine learning

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Embodiment Construction

[0032] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0033] Such as figure 1 As shown, the present invention proposes a pedestrian navigation system based on inertial and electromyographic information combined with machine learning. Among them, the myoelectric signal sensor and the inertial measurement component are installed on various parts of the human body, specifically: the electromyographic signal sensor is installed on the skin surface of various parts of the human body. In practical applications, sensors with medium and low precision can be used, and the installation location can be selected as the quadriceps femoris. , the surface of the soleus and other muscle groups. The inertial measurement unit can be installed on the clothing or skin surface of other parts of the human body except the feet. In practical applications, low- and medium-precision inertial measurement units can be u...

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Abstract

The invention discloses a pedestrian navigation system and method based on inertial and myoelectricity information and combined with machine learning. The pedestrian navigation system includes at least one set of inertial / geomagnetic measurement modules arranged at the feet of a pedestrian, a plurality of sets of inertial measurement modules arranged outside the feet of a human body, a plurality of sets of myoelectricity signal sensors arranged at various parts of the human body, and micro-navigation computers and machine learning processing computers arranged at any position of the human body. The inertial / geomagnetic measurement modules at the feet and the micro-navigation computers constitute a foot inertial navigation system, the effective data collected by each inertial measurement module and each myoelectricity signal sensor are used as input of a machine learning algorithm model, the variation of navigation information output by the foot inertial navigation system is used as output, and a model is built online and the pedestrian navigation is realized. When the inertial navigation system is not installed on the feet or part of the sensor devices distributed in the human bodyand the system fails, the pedestrian navigation and positioning can still be accurately realized, and the reliability and stability of the pedestrian navigation system are improved.

Description

technical field [0001] The invention belongs to the technical field of pedestrian navigation, and in particular relates to a pedestrian navigation system and method based on inertial and myoelectric information combined with machine learning. Background technique [0002] Pedestrian navigation is an important branch in the field of navigation and localization. The existing pedestrian navigation research directions can be mainly divided into the following two categories: one is source positioning based on various wireless networks, but this type of method relies on additional equipment (such as WIFI, Bluetooth, etc.), and the positioning accuracy is greatly affected by the environment and is easily affected by The second is pedestrian navigation and positioning based on inertial sensors, with inertial devices as the core, which has the characteristics of short-term high precision and high stability, and is a completely autonomous navigation system. Diverge quickly. [0003]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/16G01C21/20
CPCG01C21/165G01C21/20
Inventor 钱伟行陈欣杨淑琴周紫君王蕊王二朋吴文宣皇甫晓瑛
Owner NANJING NORMAL UNIVERSITY
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